Llama 3.1 Euryale 70B v2.2 vs KAT-Coder-Pro V2
Llama 3.1 Euryale 70B v2.2
KAT-Coder-Pro V2
| Llama 3.1 Euryale 70B v2.2 | KAT-Coder-Pro V2 | |
|---|---|---|
| Provider | Sao10K | Kwaipilot |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 131,072 | 256,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.8500 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.8500 | 1.2000 |
Frequently asked questions
Which is cheaper, Llama 3.1 Euryale 70B v2.2 or KAT-Coder-Pro V2?
KAT-Coder-Pro V2 is cheaper than Llama 3.1 Euryale 70B v2.2 on a 50/50 input/output blend by about $0.1 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Llama 3.1 Euryale 70B v2.2 or KAT-Coder-Pro V2?
KAT-Coder-Pro V2 has the larger context window at 256k tokens versus 131k tokens for Llama 3.1 Euryale 70B v2.2. That means KAT-Coder-Pro V2 can ingest about 2.0x as much text per request.
What is the difference between Llama 3.1 Euryale 70B v2.2 and KAT-Coder-Pro V2?
Llama 3.1 Euryale 70B v2.2 comes from Sao10K; KAT-Coder-Pro V2 comes from Kwaipilot. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.